We are excited to announce 2 new full-time job openings for “Neuromorphic Algorithm Researchers” with a special focus on continual online learning to expand our teams in Germany and in the US.
In addition, we are also offering 2 internship positions in Germany and the US for which we encourage you to propose high-impact research projects yourself as part of your application relating to deep-spiking neural networks, efficient online learning algorithms or other areas.
If you have a strong background in these areas, are passionate about developing novel algorithms and applications as well as demonstrating them on neuromorphic systems, then please take a look and send us your application!
On December 3, Intel Labs hosted a virtual open house for international press and tech analysts around the world. This was a major event for our neuromorphic research program – it included a number of talks, five Loihi demos, and a press release announcing our newest corporate members in the INRC. Check out the following videos from the event:
Intel Labs Day keynote – Rich Uhlig with breakouts to me and several other IL researchers covering topics ranging from silicon photonics to quantum computing to machine programming to neuromorphic computing (the neuromorphic segment begins at 12:32)
Early benchmarking results for neuromorphic computing: what it reveals about future adoption
– Mike Davies
How Neuromorphic Computing will Help Industries Drive at the Edge – Alex Kass + team (Accenture)
Ultra-fast vision-based drone control with Loihi – Yulia Sandamirskaya (Intel), Davide Scaramuzza (ETH Zurich)
One-shot object learning for robots with Loihi and iCub – Yulia Sandamirskaya (Intel), Arren Glover (IIT Genoa)
Adaptive human gesture learning – Kenneth Stewart (UCI), Andreea Danielescu (Accenture)
Adaptive control for assistive robotic arms – Lazar Supic (Accenture)
Automotive voice command recognition – Tim Shea (Accenture)
You might also be interested in the main Intel Labs Day news page, our neuromorphic press release, and a long list of articles from various outlets covering the event – for example VentureBeat, ZDNet, and Neowin. I’d especially point you to Sally Ward-Foxton’s EE Times article that provides a great report of our comprehensive Loihi benchmarking results.
Speaking of those benchmarking results, here are my slides from that talk, for your reference:
Thanks to Accenture and a long list of INRC members whose brilliant work with Loihi gave us plenty of impressive results to cover in this event! Thanks to all of you, neuromorphic computing is advancing fast!
Mike
Call for Topic Area Proposals
2021 Telluride Neuromorphic Cognition Engineering Workshop (Virtual)
Telluride, Colorado, June 27 –July 16, 2021
DEADLINE: Friday, January 15th, 2021
From the Telluride Neuromorphic 2021 Workshop Organizers:
We will host a Proposer’s Day meeting on Dec 17 (Thursday) at 5pm CET (9am USA Mountain Time) to answer any questions regarding the proposals or workshop format. Register with this link.
We are currently accepting proposals for Topic Areas in the 2021 Virtual Telluride Neuromorphic Cognition Engineering Workshop. For over two decades, the Workshop has been influential in shaping the field of neuromorphic engineering and connecting multiple disciplines, including neuroscience, cognitive science, machine learning, robotics, control, computer vision and audition.
We plan for a virtual 2021 workshop therefore proposals should describe the organization of a topic area for remote participation. Topic area leaders will help to define the field of neuromorphic cognition engineering through the projects they pursue and the people they invite. They shape their topic by inviting speakers and project staff (the invitees) and by initiating topic discussions during and prior to the workshop. Proposals with exactly 2 topic leaders from different institutions are required, and both leaders agree to be actively involved during the workshop. At least one leader must be present at any given time during the workshop.
For the 2021 workshop, we seek proposals that touch on learning and intelligence and with an emphasis on closing the loop between perception, cognition, learning, and the motor system. Projects should involve neuromorphic and bio-inspired concepts or connect from these areas to other mainstream areas such as deep learning. We support topic areas that touch on the following domains:
Neural architectures for cognitive computing
Applications of neuromorphic technology (sensor and computing platforms) on "real-world" tasks in areas such as computer vision, audition, and robot control.
Mathematical models and algorithms for event processing including deep learning and signal processing algorithms
Higher-level cognition, language, and reasoning
Robotics for navigation and manipulation including control
Topic area proposals should include a list of projects and also target an "everyday" task that biological brains solve with ease. Projects should focus on those which pose significant challenges to current artificial computing systems. They should also have a tutorial component for the workshop participants. Topic areas should aim for impressive demonstrators as the outcome of three weeks of focused work.
Successful proposals in the past have focused on topics such as navigating through an unknown environment, visual and auditory understanding of scenes and human actions in real-time environments, adaptively manipulating objects in the service of a household task, neural network architectures for cognitive computing and their efficient hardware implementation, EEG-based systems to decode acoustic events, neuroprosthetic control, deep learning systems and transfer learning, etc. See these example topic areas from the last workshop.
Topic area organizers are expected to be actively involved in coordination activities with other areas, e.g., advertising their topic area on the Workshop website, inviting top researchers covering different aspects of their project, and actively promoting the Workshop for applicants that could be interested in their topic area.
Topic proposals must include tutorials and educational overview presentations. Topic areas are meant to educate participating students, establish new links between disciplines, critically evaluate competing approaches, and encourage after-workshop collaboration between groups.
Pre-workshop topic area choices and study assignments.
At least one week before the workshop begins, each topic area will be required to prepare and distribute study materials that constitute: 1) an introductory presentation (e.g., pptx, video, review paper) of the fundamental knowledge associated with the topic area that everyone at the workshop should be exposed to, 2) a collection of a few critical papers that the participants in the topic area should read before the workshop, and 3) a syllabus of the first week hands-on tutorial exercises. 4) Pre-recordings of tutorials that are useful for carrying out the work. The topic area should begin a group discussion of the projects (e.g., via the workshop wiki, Skype, email, etc).
The maximum 3-page proposals should include:
Title of topic area.
Names of the two topic leaders, their affiliations, and contact information (email addresses). Please note that there can only be TWO topic leaders and they should come from different institutions. Other co-organizers or supporting staff can be named as invitees.
A detailed plan for running the topic area remotely for 3 weeks. Regular meetings will be expected during this period.
A paragraph explaining the focus and goals of the topic area and its relation to the goals of expanding the neuromorphic community.
A list of possible specific topic area projects.
A clear plan to prepare students for the project, including a syllabus of lectures and tutorials at the workshop with preparatory material (software, video lectures, etc).
A list of sensors, hardware platforms, software packages, robots, or any other special equipment that are a part of your topic area project and that can be utilized remotely.
A description of how the experiments can be carried out if the needed equipment (e.g. EEG setup) is hosted in one lab.
A list of planned project invitees that you have contacted (names and institutions).
Any other material that fits within the three-page limit that will help us make a smart choice.
Send your topic area proposal in pdf or text format to neuromorph-org20@googlegroups.com with a subject line containing "topic area proposal". If you do not get a response confirming receipt of your proposal, please contact one of the workshop organizers directly.
We expect to accept at least 4 topic areas. We hope to have significant turn-over each year in the topic areas and leaders to ensure fresh new ideas and participants.
The workshop is organized by the Institute of Neuromorphic Engineering.
See https://tellurideneuromorphic.org for the 2021 workshop web page.
We look forward to your topic proposals!
The 2021 Workshop Organizing Team:
Shih-Chii Liu (University of Zurich and ETH Zurich)
Emre Neftci (University of California, Irvine)
Cornelia Fermüller (University of Maryland)
Guido Zarrella (MITRE)
Terry Stewart (National Research Council of Canada)
Andreas Andreou (John Hopkins University)
Tobi Delbruck (University of Zurich and ETH Zurich)
Garrick Orchard (Intel Labs)
Scott Koziol (Baylor University)
Elisabetta Chicca (University of Groningen)
Francisco Barranco (Univ of Granada)
Mounya Elhilali (Johns Hopkins University)
Ralph Etienne-Cummings (Johns Hopkins University)
Shihab Shamma (University of Maryland)
Behtash Babadi (University of Maryland)